RCLabels (version 0.1.10)

split_noun_pp: Split row and column labels into nouns and prepositional phrases

Description

This function is similar to split_pref_suff() in that it returns a list. However, this function's list is more detailed than split_pref_suff(). The return value from this function is a list with the first named item being the prefix (with the name noun) followed by objects of prepositional phrases (with names being prepositions that precede the objects).

Usage

split_noun_pp(
  labels,
  inf_notation = TRUE,
  notation = RCLabels::notations_list,
  choose_most_specific = FALSE,
  prepositions = RCLabels::prepositions_list
)

Value

A list of lists with items named noun and pp.

Arguments

labels

The row and column labels from which prepositional phrases are to be extracted.

inf_notation

A boolean that tells whether to infer notation for x. Default is TRUE. See infer_notation() for details.

notation

The notation type to be used when extracting prepositions. Default is RCLabels::notations_list, meaning that the notation is inferred using infer_notation().

choose_most_specific

A boolean that tells whether to choose the most specific notation from notation when inferring notation. Default is FALSE so that a less specific notation can be inferred. In combination with RCLabels::notations_list, the default value of FALSE means that RCLabels::bracket_notation will be selected instead of anything more specific, such as RCLabels::from_notation.

prepositions

A vector of strings to be treated as prepositions. Note that a space is appended to each word internally, so, e.g., "to" becomes "to ". Default is RCLabels::prepositions_list.

Details

Unlike split_pref_suff(), it does not make sense to have a transpose argument on split_noun_pp(). Labels may not have the same structure, e.g., they may have different prepositions.

Examples

# Specify the notation
split_noun_pp(c("a [of b in c]", "d [of e into f]"),
              notation = bracket_notation)
# Infer the notation via default arguments
split_noun_pp(c("a [of b in c]", "d [of e into f]"))